What is a Agentic AI Engineer at Expedia Group?
As an Agentic AI Engineer at Expedia Group, you will play a pivotal role in shaping the future of travel technology. This position is critical as it directly impacts the efficiency and effectiveness of AI-driven products, enhancing user experiences across various platforms. You will work at the intersection of machine learning, product management, and user-centric design, contributing to transformative projects that influence how millions of travelers access and engage with travel services.
This role is not just about creating algorithms; it is about understanding user behavior, anticipating needs, and leveraging data to drive strategic decisions. You will collaborate with diverse teams, including engineering, data science, and product management, to deliver innovative AI solutions that optimize search results, personalize travel recommendations, and enhance customer satisfaction. The complexity and scale of the problems you will address make this role both challenging and intellectually rewarding, offering a unique opportunity to contribute to a leading global travel brand.
Common Interview Questions
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Curated questions for Expedia Group from real interviews. Click any question to practice and review the answer.
Tests prioritization under pressure across multiple teams, including trade-off judgment, stakeholder alignment, and ownership of the outcome.
Describe a cross-functional customer scenario where you aligned teams and advocated for the user.
Tests how you create clarity, prioritize, and lead a team forward when goals, requirements, or constraints are unclear.
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Sign up freeAlready have an account? Sign inGetting Ready for Your Interviews
Preparation for your interviews should involve a strategic approach to build your confidence and demonstrate your strengths. Understanding the key evaluation criteria will help you align your experiences with what Expedia Group values in candidates.
Role-related knowledge – This criterion assesses your technical skills and domain expertise. Interviewers will look for your proficiency in AI and machine learning, as well as your familiarity with relevant tools and technologies. To showcase your strength, be prepared to discuss specific projects and the technologies you employed.
Problem-solving ability – This involves your approach to challenges and how you structure your thought process. Demonstrating a logical and creative approach to problem-solving will resonate with interviewers. Prepare to articulate your methodology and provide examples of past experiences where your problem-solving skills were put to the test.
Leadership – This evaluates your ability to influence and communicate effectively. You will need to illustrate how you can mobilize teams to achieve common goals. Prepare examples where you led initiatives or collaborated with diverse teams to drive results.
Culture fit / values – At Expedia Group, aligning with company values is crucial. Interviewers will assess how well you work with others and navigate ambiguity. Reflect on your experiences in team settings and how you contributed to a positive culture.
Interview Process Overview
The interview process at Expedia Group is designed to thoroughly assess candidates' technical and interpersonal skills, ensuring a strong fit for the Agentic AI Engineer role. You can expect a structured yet dynamic flow that encompasses several stages, typically starting with an initial screening followed by technical interviews and behavioral assessments.
During the interviews, expect a combination of technical questions, problem-solving scenarios, and discussions around your past experiences. The emphasis will be on your ability to think critically, adapt to new challenges, and collaborate effectively. The process is rigorous, reflecting the high standards Expedia Group maintains for its engineering talent.
The visual timeline illustrates the various stages of the interview process, from initial screening to final interviews. Use this to plan your preparation and manage your energy throughout the stages. Be prepared for variations depending on the team and specific role requirements.
Deep Dive into Evaluation Areas
Understanding how candidates are evaluated during the interview process is essential for your preparation. Here are several major evaluation areas specific to the Agentic AI Engineer role:
Technical Expertise
This area is critical as it directly relates to your ability to perform the job effectively. Interviewers will evaluate your understanding of AI concepts, machine learning techniques, and data analysis skills. A strong performance means demonstrating both theoretical knowledge and practical application of these concepts.
- Machine Learning Algorithms – Be able to explain various algorithms and their use cases.
- Data Handling – Discuss your experience with data preprocessing and feature engineering.
- Tools and Technologies – Highlight your proficiency in relevant programming languages and frameworks.
- Example questions:
- "Describe a machine learning project you worked on and the outcome."
- "What tools do you prefer for data analysis and why?"
Problem-Solving Skills
Your ability to approach complex challenges is vital. Interviewers will look for structured thinking and innovative solutions. Strong candidates will articulate their problem-solving process clearly and provide relevant examples.
- Frameworks for Problem Solving – Discuss methodologies you use for tackling challenges.
- Real-world Applications – Provide examples of how you've solved difficult problems in past roles.
- Example questions:
- "How would you approach a problem where user engagement has dropped?"
- "Give an example of a time when your analysis led to a major business decision."
Collaboration and Leadership
Your capacity to work within teams and influence others is crucial for the Agentic AI Engineer role. Interviewers will assess how you communicate and collaborate with cross-functional teams.
- Team Dynamics – Reflect on your experiences working in diverse teams.
- Leadership Experiences – Discuss situations where you led initiatives or projects.
- Example questions:
- "How do you handle conflicts within a team?"
- "Describe a successful team project you were part of and your contributions."
